AI Engineer / Technical Consultant – AI Integration

Vrinda International; Bengaluru; In loco; INR 1.800.000 - 2.200.000; Tempo pieno

Descrizione del lavoro

AI Engineer / Technical Consultant – AI Integration

Job Description

Summary

We are seeking a highly skilled AI Engineer and Technical Consultant to drive the strategic implementation and integration of advanced artificial intelligence solutions within our IT Services framework. This pivotal role focuses on leveraging cutting-edge cloud technologies to design, build, and optimize scalable AI architectures that enhance enterprise capabilities. The ideal candidate will bridge the gap between complex data engineering, robust security protocols, and innovative AI applications, ensuring seamless deployment of agentic systems and responsible AI practices. This position is critical for advancing our technical infrastructure and delivering high-impact AI-driven business value.

Responsibilities

• Architect and develop enterprise-grade AI solutions utilizing Python, Azure Functions, Logic Apps, and Event Grid to automate complex workflows.
• Establish and maintain robust DevOps pipelines using GitHub Actions and Azure DevOps to ensure efficient Continuous Integration and Continuous Deployment (CI/CD).
• Implement comprehensive security frameworks including Role-Based Access Control (RBAC), Entra ID integration, and Key Vault management to protect sensitive data and resources.
• Design and refine prompt engineering strategies, oversee Model Context Protocol (MCP) implementation, and enforce Responsible AI guidelines with continuous monitoring mechanisms.
• Define and govern enterprise architecture standards, ensuring alignment with organizational goals and regulatory compliance.
• Engineer scalable data solutions using Azure Databricks, SQL, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) for advanced data modeling and processing.
• Develop Retrieval-Augmented Generation (RAG) systems and Agentic AI applications using Azure OpenAI to deliver intelligent, context-aware user experiences.
• Build and manage secure REST APIs via API Management (APIM) to facilitate seamless cloud-native integration across diverse enterprise systems.

Requirements

• Experience: 6-8 years of professional experience in AI engineering, technical consulting, or related cloud-native development roles.
• Programming & Automation: Proficiency in Python with extensive hands-on experience in Azure Functions, Logic Apps, and Event Grid.
• DevOps Expertise: Demonstrated ability to configure and manage CI/CD pipelines using GitHub Actions and Azure DevOps.
• Security Knowledge: Strong background in implementing security controls, including RBAC, Entra ID, and Key Vault configurations.
• AI & ML Skills: Expertise in prompt engineering, MCP, Responsible AI principles, and AI monitoring tools.
• Architecture & Governance: Proven track record in enterprise architecture design and governance frameworks.
• Data Engineering: Advanced skills in Azure Databricks, SQL, ADF, ADLS, and data modeling techniques.
• Generative AI: Experience in building RAG pipelines and Agentic AI solutions using Azure OpenAI.
• Integration: Competence in developing REST APIs and managing them through APIM for cloud-native integration.
• Salary Expectation: The role offers a competitive compensation package of ₹20 LPA.